Sub-Population Specific Models of Couples’ Conflict
Citations Over TimeTop 24% of 2020 papers
Abstract
Interpersonal conflict between couples is a significant source of stress with long-lasting effects on partners’ physical and psychological health. Motivated by findings in psychological science, we study how couples with distinct relationship functioning characteristics experience conflict in real life. We propose sub-population specific machine learning models using hierarchical and adaptive learning frameworks to automatically detect interpersonal conflict through the ambulatory monitoring of couples’ physiological signals, audio samples, and linguistic indices. Results indicate that the proposed models outperform a general model learned for the entire population and separate models independently trained on each sub-population, providing a foundation toward personalized health applications.
Related Papers
- → Relationship among dispositional forgiveness of others, interpersonal adjustment and psychological well-being: Implication for interpersonal theory of depression(2008)81 cited
- → A Revised Interpersonal Circumplex Inventory of Children’s Social Goals(2011)22 cited
- Role-taking ability and the interpersonal tactics of retarded children.(1976)
- Influence of Study Goals and Interpersonal Relationships on Undergraduates' Subjective Well-being(2007)
- Explorations about Interpersonal Psychological Quality(2006)